
A/B Test Significance Calculator
Check whether your A/B test results are statistically significant — enter your control and variant numbers for an instant confidence reading.
Open toolWork out a budget, check whether a test result means anything, or compare CPM and CPC against UK benchmarks. Each calculator has a short guide beside it explaining what the numbers mean.
Check your results with the A/B Test Significance Calculator Work out a budget with the Ad Budget CalculatorThese tools work through the numbers behind a campaign, from split-test results to budget splits across channels, so a decision rests on your own figures.

Check whether your A/B test results are statistically significant — enter your control and variant numbers for an instant confidence reading.
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Estimate how much to spend on advertising by channel — enter your goals and get a realistic UK budget range based on typical platform costs.
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Compare your campaign CPM and CPC against UK benchmarks by channel — paste your numbers and see where you stand against industry averages.
Open toolSee the full set of tools, or read the guide behind each one before you start.
Each guide walks through what its calculator works out, how it gets there, and where readers most often misread the result.
A step-by-step guide to running A/B test significance checks on your ad campaigns — what to enter, what the result means, and when to act on it.
Read guide How to Use the Ad Budget Calculator | Advertise.co.ukHow to set an advertising budget that matches your goals — a guide to the inputs, outputs, and assumptions behind the Ad Budget Calculator.
Read guide How to Use the CPM & CPC Benchmark Comparator | Advertise.co.ukWhat CPM and CPC benchmarks mean, how to read yours against UK averages, and what to do when your numbers look high — a guide to the comparator tool.
Read guideEvery guide sits next to the calculator it explains, so you can check a figure and understand it in the same visit.
A calculator can tell you whether a change in your numbers means anything, or whether the sample is still too small to say. It won't tell you what to do next, but it stops you acting on noise.